European Conference on Mathematical and Theoretical Biology (ECMTB 2026)

Novel Approaches in Mathematical Biology

Not scheduled

20m

University of Graz

Minisymposium Numerical, Computational, and Data-Driven Methods Novel Approaches in Mathematical Biology

Speakers

Alvaro Köhn-Luque (University of Oslo) Daphne van Ginneken (Utrecht University) Erin Acquesta (Sandia National Laboratories) Fatemeh (Azade) Beigmohammadi (University og Montreal) Jason Hartford (University of Manchester) Jia Zhao (University of Alabama) Kathleen Wilkie (Toronto Metropolitan University) Kevin Flores (North Carolina State University) Melanie Sadecki (Department of Mathematics, North Carolina State University) Nicole Bruce (University of Tennessee Health Science Center) Steffen Docken (University of New South Wales Sydney) Veronika Hoffman (Technical University of Munich)

Description

The intersection of mathematical methods, machine learning, and scientific machine learning is paving the way for innovative solutions to complex biological challenges. This mini-symposium aims to showcase cutting-edge research that leverages these interdisciplinary approaches to enhance our understanding of biological systems and improve health outcomes. The session will explore transformative applications of artificial intelligence (AI) and mathematical methods in biological research, including the integration of advanced bioinformatics techniques with machine learning, the use of generative AI for enhanced data generation and cell tracking, and the application of large language models (LLMs) to generate behavioral states in network modeling for infectious diseases. Additionally, we will discuss how mechanistic models can improve predictability in biological contexts. Through these interdisciplinary strategies, the symposium will highlight the potential of AI and mathematical methods to drive advancements in biological understanding and public health.